General information

TU/e
Industrial Design
Business Process Development
Den Dolech 2
PO Box 513
5600 MB Eindhoven
www.tue.nl

Research target TU/e

Technische Universiteit Eindhoven (TU/e) focuses on fundamental/strategic technological research, which is relevant for industrial or other applications. It contributes to the strong competitive position of industry and addresses problems in society. TU/e intends to play a leading national and international role in attracting top researchers.

‘Ambient Intelligence’, ‘Comfort Technology and Design’ considered as greenhouse disciplines. This reflects the fact that they offer growth opportunities, and will probably be designated as research focal areas in the near future.

Main research area Industrial Design – Business Process Design

• The group BPD focuses, together with industrial partners, on co-located design/use scenarios where different members of a design network are brought together in an application oriented experimental environment (Innohub).
• BPD group is setting-up, together with other groups in the department, a network of international design labs where the effects of globalization on the design of (intelligent) systems are studied.
• Information generated in one context for one purpose may have an entire different meaning in another (user, cultural and/or industrial) context. In this context the BPD group develops methods and models for the analysis of propagation of design related information in the creation, realization and use of intelligent systems.

How does DfU fit the defined research area

Prediction of early failures is becoming more and more important. In the past these failures were found using validation and verification tests. In order to predict these failures fast prediction methods are required (due to time-to-market pressure). Also due to the innovative character of many of these products and due to the way they are used by customers, a part of all possible design weaknesses cannot be foreseen during the product development process (data unavailability/uncertainty). This leads to a second requirement for prediction methods for this type of products. The methods should also be able to predict the occurrence of failures that were not anticipated during development and thus not included in the design specifications and not found in the design verification/validation tests.

Aarnout Brombacher
Peter Sonnemans
Ilse de Visser
Christelle Harkema